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Creating Information Boards Using Standard Library Classes and Google Chart API
Creating Information Boards Using Standard Library Classes and Google Chart API
The MQL5 programming language primarily targets the creation of automated trading systems and complex instruments of technical analyses. But aside from this, it allows us to create interesting information systems for tracking market situations, and provides a return connection with the trader. The article describes the MQL5 Standard Library components, and shows examples of their use in practice for reaching these objectives. It also demonstrates an example of using Google Chart API for the creation of charts.
DirectX Tutorial (Part I): Drawing the first triangle
DirectX Tutorial (Part I): Drawing the first triangle
It is an introductory article on DirectX, which describes specifics of operation with the API. It should help to understand the order in which its components are initialized. The article contains an example of how to write an MQL5 script which renders a triangle using DirectX.
Multilayer perceptron and backpropagation algorithm (Part II): Implementation in Python and integration with MQL5
Multilayer perceptron and backpropagation algorithm (Part II): Implementation in Python and integration with MQL5
There is a Python package available for developing integrations with MQL, which enables a plethora of opportunities such as data exploration, creation and use of machine learning models. The built in Python integration in MQL5 enables the creation of various solutions, from simple linear regression to deep learning models. Let's take a look at how to set up and prepare a development environment and how to use use some of the machine learning libraries.
Payments and payment methods
Payments and payment methods
MQL5.community Services offer great opportunities for traders as well as for the developers of applications for the MetaTrader terminal. In this article, we explain how payments for MQL5 services are performed, how the earned money can be withdraw, and how the operation security is ensured.
Native Twitter Client for MT4 and MT5 without DLL
Native Twitter Client for MT4 and MT5 without DLL
Ever wanted to access tweets and/or post your trade signals on Twitter ? Search no more, these on-going article series will show you how to do it without using any DLL. Enjoy the journey of implementing Twitter API using MQL. In this first part, we will follow the glory path of authentication and authorization in accessing Twitter API.
Brute force approach to pattern search (Part III): New horizons
Brute force approach to pattern search (Part III): New horizons
This article provides a continuation to the brute force topic, and it introduces new opportunities for market analysis into the program algorithm, thereby accelerating the speed of analysis and improving the quality of results. New additions enable the highest-quality view of global patterns within this approach.
Brute force approach to pattern search (Part II): Immersion
Brute force approach to pattern search (Part II): Immersion
In this article we will continue discussing the brute force approach. I will try to provide a better explanation of the pattern using the new improved version of my application. I will also try to find the difference in stability using different time intervals and timeframes.
Calculator of signals
Calculator of signals
The calculator of signals operates directly from the MetaTrader 5 terminal, which is a serious advantage, since the terminal provides a preliminary selection and sorts out signals. This way, users can see in the terminal only the signals that ensure a maximum compatibility with their trading accounts.
Finding seasonal patterns in the forex market using the CatBoost algorithm
Finding seasonal patterns in the forex market using the CatBoost algorithm
The article considers the creation of machine learning models with time filters and discusses the effectiveness of this approach. The human factor can be eliminated now by simply instructing the model to trade at a certain hour of a certain day of the week. Pattern search can be provided by a separate algorithm.
Neural networks made easy (Part 9): Documenting the work
Neural networks made easy (Part 9): Documenting the work
We have already passed a long way and the code in our library is becoming bigger and bigger. This makes it difficult to keep track of all connections and dependencies. Therefore, I suggest creating documentation for the earlier created code and to keep it updating with each new step. Properly prepared documentation will help us see the integrity of our work.
Gradient boosting in transductive and active machine learning
Gradient boosting in transductive and active machine learning
In this article, we will consider active machine learning methods utilizing real data, as well discuss their pros and cons. Perhaps you will find these methods useful and will include them in your arsenal of machine learning models. Transduction was introduced by Vladimir Vapnik, who is the co-inventor of the Support-Vector Machine (SVM).
Practical application of neural networks in trading. Python (Part I)
Practical application of neural networks in trading. Python (Part I)
In this article, we will analyze the step-by-step implementation of a trading system based on the programming of deep neural networks in Python. This will be performed using the TensorFlow machine learning library developed by Google. We will also use the Keras library for describing neural networks.
Parallel Particle Swarm Optimization
Parallel Particle Swarm Optimization
The article describes a method of fast optimization using the particle swarm algorithm. It also presents the method implementation in MQL, which is ready for use both in single-threaded mode inside an Expert Advisor and in a parallel multi-threaded mode as an add-on that runs on local tester agents.
CatBoost machine learning algorithm from Yandex with no Python or R knowledge required
CatBoost machine learning algorithm from Yandex with no Python or R knowledge required
The article provides the code and the description of the main stages of the machine learning process using a specific example. To obtain the model, you do not need Python or R knowledge. Furthermore, basic MQL5 knowledge is enough — this is exactly my level. Therefore, I hope that the article will serve as a good tutorial for a broad audience, assisting those interested in evaluating machine learning capabilities and in implementing them in their programs.
Using cryptography with external applications
Using cryptography with external applications
In this article, we consider encryption/decryption of objects in MetaTrader and in external applications. Our purpose is to determine the conditions under which the same results will be obtained with the same initial data.
Calculating mathematical expressions (Part 2). Pratt and shunting yard parsers
Calculating mathematical expressions (Part 2). Pratt and shunting yard parsers
In this article, we consider the principles of mathematical expression parsing and evaluation using parsers based on operator precedence. We will implement Pratt and shunting-yard parser, byte-code generation and calculations by this code, as well as view how to use indicators as functions in expressions and how to set up trading signals in Expert Advisors based on these indicators.
Native Twitter Client: Part 2
Native Twitter Client: Part 2
A Twitter client implemented as MQL class to allow you to send tweets with photos. All you need is to include a single self contained include file and off you go to tweet all your wonderful charts and signals.
MQL as a Markup Tool for the Graphical Interface of MQL Programs (Part 3). Form Designer
MQL as a Markup Tool for the Graphical Interface of MQL Programs (Part 3). Form Designer
In this paper, we are completing the description of our concept of building the window interface of MQL programs, using the structures of MQL. Specialized graphical editor will allow to interactively set up the layout that consists of the basic classes of the GUI elements and then export it into the MQL description to use it in your MQL project. The paper presents the internal design of the editor and a user guide. Source codes are attached.
Continuous Walk-Forward Optimization (Part 6): Auto optimizer's logical part and structure
Continuous Walk-Forward Optimization (Part 6): Auto optimizer's logical part and structure
We have previously considered the creation of automatic walk-forward optimization. This time, we will proceed to the internal structure of the auto optimizer tool. The article will be useful for all those who wish to further work with the created project and to modify it, as well as for those who wish to understand the program logic. The current article contains UML diagrams which present the internal structure of the project and the relationships between objects. It also describes the process of optimization start, but it does not contain the description of the optimizer implementation process.
MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 2
MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 2
This paper continues checking the new conception to describe the window interface of MQL programs, using the structures of MQL. Automatically creating GUI based on the MQL markup provides additional functionality for caching and dynamically generating the elements and controlling the styles and new schemes for processing the events. Attached is an enhanced version of the standard library of controls.
MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 1
MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 1
This paper proposes a new conception to describe the window interface of MQL programs, using the structures of MQL. Special classes transform the viewable MQL markup into the GUI elements and allow manage them, set up their properties, and process the events in a unified manner. It also provides some examples of using the markup for the dialogs and elements of a standard library.
Continuous Walk-Forward Optimization (Part 5): Auto Optimizer project overview and creation of a GUI
Continuous Walk-Forward Optimization (Part 5): Auto Optimizer project overview and creation of a GUI
This article provides further description of the walk-forward optimization in the MetaTrader 5 terminal. In previous articles, we considered methods for generating and filtering the optimization report and started analyzing the internal structure of the application responsible for the optimization process. The Auto Optimizer is implemented as a C# application and it has its own graphical interface. The fifth article is devoted to the creation of this graphical interface.
Drawing Dial Gauges Using the CCanvas Class
Drawing Dial Gauges Using the CCanvas Class
We can find dial gauges in cars and airplanes, in industrial production and everyday life. They are used in all spheres which require quick response to behavior of a controlled value. This article describes the library of dial gauges for MetaTrader 5.
Creating and testing custom symbols in MetaTrader 5
Creating and testing custom symbols in MetaTrader 5
Creating custom symbols pushes the boundaries in the development of trading systems and financial market analysis. Now traders are able to plot charts and test trading strategies on an unlimited number of financial instruments.
Exploring Trading Strategy Classes of the Standard Library - Customizing Strategies
Exploring Trading Strategy Classes of the Standard Library - Customizing Strategies
In this article we are going to show how to explore the Standard Library of Trading Strategy Classes and how to add Custom Strategies and Filters/Signals using the Patterns-and-Models logic of the MQL5 Wizard. In the end you will be able easily add your own strategies using MetaTrader 5 standard indicators, and MQL5 Wizard will create a clean and powerful code and fully functional Expert Advisor.
How to create Requirements Specification for ordering a trading robot
How to create Requirements Specification for ordering a trading robot
Are you trading using your own strategy? If your system rules can be formally described as software algorithms, it is better to entrust trading to an automated Expert Advisor. A robot does not need sleep or food and is not subject to human weaknesses. In this article, we show how to create Requirements Specification when ordering a trading robot in the Freelance service.
LifeHack for traders: Blending ForEach with defines (#define)
LifeHack for traders: Blending ForEach with defines (#define)
The article is an intermediate step for those who still writes in MQL4 and has no desire to switch to MQL5. We continue to search for opportunities to write code in MQL4 style. This time, we will look into the macro substitution of the #define preprocessor.
MQL5 Cookbook: Implementing Your Own Depth of Market
MQL5 Cookbook: Implementing Your Own Depth of Market
This article demonstrates how to utilize Depth of Market (DOM) programmatically and describes the operation principle of CMarketBook class, that can expand the Standard Library of MQL5 classes and offer convenient methods of using DOM.